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A.I Assisted Polyp Detection

ABOUT US

We are dedicated to developing AI powered diagnostic solutions that enable frontline healthcare practitioners to make easier, faster and more reliable diagnoses for their patients.
Our first product, SofiOne, is undergoing clinical validation as a decision support tool for the diagnosis of all polyp findings in colonoscopy.
We are a cross disciplinary team of computer scientists, image processing scientists, clinicians and entrepreneurs united by our passion to develop solutions that harness the power of AI which enable healthcare providers to provide easier, faster and more cost effective diagnosis.

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WHAT IS A.I

Artificial intelligence is a constellation of many different technologies working together to enable machines to sense, comprehend, act, and learn with human-like levels of intelligence. AI is actually a young discipline of about sixty years, which brings together sciences, theories and techniques (including mathematical logic, statistics, probabilities, computational neurobiology and computer science) and whose goal is to achieve the imitation by a machine of the cognitive abilities of a human being.

A.I. in Gastroenterology

Artificial intelligence (AI) is coming to medicine in a big wave. From making diagnosis in various medical conditions, following the latest advancements in scientific literature, suggesting appropriate therapies, to predicting prognosis and outcome of diseases and conditions, AI is offering unprecedented possibilities to improve care for patients. Gastroenterology is a field that AI can make a significant impact. This is partly because the diagnosis of gastrointestinal conditions relies a lot on image-based investigations and procedures (endoscopy and radiology). AI-assisted image analysis can make accurate assessment and provide more information than conventional analysis.
Colorectal cancer remains the second most common cause of cancer-related deaths within the United States. The American Cancer Society estimated there were 51,020 colorectal cancer deaths in the United States in 2019. However, effective colorectal cancer screening has been shown to detect precancerous polyps early. With every increase in 1% of a gastroenterologist’s detection rate, the risk of an interval cancer decreases by 3% to 6% However, detection rate vary greatly between colonoscopists (from 7% to 53%). With the health risks of colon cancer, AI-assisted colon polyp detection has been an area of great interest.

SOFiOne - Description

The system was designed for the automatic identification of pathological findings of the digestive system (polyps), in real time and during the relevant examination (colonoscopy). SOFiOne uses modern AI algorithms, performing detections with a precision of 97,8%.
Works in real time, and is compatible with all GI Endoscopy systems of all manufacturers.
When a polyp is detected, the physician is alerted by an audible signal and a visible frame, placed around the polyp, on the screen image.
Additionally AI algorithms, provide the ability of automated image capturing of the detected polyps, in an image file that contains the name of the patient that is displayed on the monitor as well as the date of the examination for easy searching, without the use of special buttons at the colonoscope or any other way of archiving.

SOFiOne - Features

Compatibility

SOFiOne is compatible with any existing Endoscopy System. Just connect video output to system's input.

Real Time

Use SOFiOne in Real Time Examination without any latency issues.

Alert

You get alerted by an audible signal and a visible frame, placed around the polyp, on the screen image. 

Capture 

SOFiOne will automatically capture images when Detection is performed.

SERVICES WE OFFER

Our all-encompassing AI product development services combine strategy, consulting, technology, & operations to create lasting value for you.
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Consulting

Custom AI solutions that will help you to fully develop an ML or DL project without the need to hire an in-house team.

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Computer Vision

Build CV models that see, perceive, analyze, spot trends and make decisions as humans do.

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Predictive Analytics

Analyze what has happened in the past, to predict what might happen in the future - without the crystal ball.

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